Global Laptops
ASUS
ASUS TUF Gaming F17 2023
Intel Core 5 210H • NVIDIA GeForce RTX 3050 Laptop GPU • 17.3 inch
Intel Core 5 210HProcessor
NVIDIA GeForce RTX 3050 Laptop GPUGraphics Card
17.3 inchDisplay
Intel Core 5 210H • NVIDIA GeForce RTX 3050 Laptop GPU • 17.3 inch
Manufacturer's official processor information — the link on the page takes you to that processor's own page.
Intel Core 5 210H — Processor model
The same graphics card runs with different power limits in different laptops; the real difference is here.
NVIDIA GeForce RTX 3050 Laptop GPU — Graphics card model
Panel type, resolution, and refresh rate — these determine every hour you spend looking at the screen.
17.3 inch — Screen size · 1920x1080 — Resolution · 144 Hz — Refresh rate · IPS — Panel type
The Kacbu editors' assessment of the specifications the maker publishes. We do not test devices ourselves, so nothing here is a measured result. Anything taken from an independent review is shown with its publication and date in the Press section.
Instead of tracking today's retail price, Kacbu keeps the product's official launch information as a reference.
Click a linked value to see other products that share that same spec, and leave a comment on that spec.
Other products in the same category.
Each answer is computed from spec data and editor tags; where there is no data, there is no page.
Whether a model runs on your machine is decided first by the graphics card's memory: the model file has to fit in VRAM with room left for the context window and the runtime. The states below are computed from memory alone; software support (CUDA, ROCm, Vulkan) is a separate matter.
Largest model that runs comfortably: Qwen3.5 0.8B
Rule: 1.5× the requirement in memory is Comfortable, 1.15× Runs, 0.6× Limited; the requirement is the default package size, or the maker's stated minimum where there is one (a stated minimum counts as fitting at exactly that figure). Package sizes are the Ollama library's, minimums the maker's own statement; read on 2026-09-11. Sources: ollama.com/library/qwen3.5, ollama.com/library/gpt-oss, openai.com/index/introducing-gpt-oss
